Quantitative Research Analyst

Lead Forensics; Portsmouth; On-site; GBP 42,000 - 62,000; Full time

Benefits offered by this job

Hybrid work in Cosham office

Competitive salary and benefits

Volunteer days and charity events

Job summary

Lead Forensics is seeking a Quantitative Research Analyst in Portsmouth, blending hands‑on modelling with data analysis to shape a new analytical capability. The role involves designing structured models, turning complex inputs into clear outputs, and collaborating with Product, Engineering and leadership teams.

The ideal candidate has a strong quantitative background, advanced Excel skills and experience with Python/SQL/R for analysis.

Qualifications

• Strong quantitative background in maths, finance, economics or engineering.
• Advanced Excel modelling skills.
• Experience building analytical models or structured frameworks.
• Experience using Python, SQL or R for analysis is beneficial.
• Ability to work with complex or ambiguous data and draw clear conclusions.
• Comfortable combining analysis with interpretation and judgement.
• Confident presenting findings and explaining your thinking.
• Curious, detail‑oriented and persistent.

Responsibilities

• Building and refining analytical models and decision‑support frameworks.
• Working with multiple datasets and shaping them into structured outputs.
• Developing logical approaches to ranking, weighting and interpretation.
• Analyzing outputs to identify patterns, anomalies and areas for improvement.
• Applying judgement to interpret findings and assess what is meaningful.
• Preparing clear analysis and sharing insights with internal stakeholders.
• Becoming the internal point of reference for this area over time.

Skills

Strong quantitative background

Advanced Excel modelling

Data analysis

Tools

Excel

Python

SQL

R

Job description

Quantitative Research Analyst

Portsmouth, Hampshire | Hybrid – 2 to 3 days per week in office

Overview

We’re building a new analytical capability within our business and are looking for a Quantitative Research Analyst to play a key role in shaping it.

This is a hands‑on role focused on designing and building structured models that bring together complex inputs and turn them into clear, useful outputs.

The role combines quantitative modelling with analysis and interpretation, and would suit someone who enjoys working with data while also applying judgement to understand what really matters.

What You Will Be Doing

• Building and refining analytical models and decision‑support frameworks
• Working with multiple datasets and shaping them into structured outputs
• Developing logical approaches to ranking, weighting and interpretation
• Analysing outputs to identify patterns, anomalies and areas for improvement
• Applying judgement to interpret findings and assess what is meaningful
• Preparing clear analysis and sharing insights with internal stakeholders
• Becoming the internal point of reference for this area over time

What We Are Looking For

• Strong quantitative background (e.g. Maths, Finance, Economics, Engineering)
• Advanced Excel modelling skills
• Experience building analytical models or structured frameworks
• Experience using Python, SQL or R for analysis (beneficial)
• Ability to work with complex or ambiguous data and draw clear conclusions
• Comfortable combining analysis with interpretation and judgement
• Confident presenting findings and explaining your thinking
• Curious, detail‑oriented and persistent

Why This Role Is Interesting

• Build the first version of a new analytical capability
• Take early ownership of a high‑impact problem
• Grow into the internal expert in this domain
• Work closely with Product, Engineering and leadership teams
• Apply both quantitative and qualitative thinking to real‑world problems

What we offer in return:

• Employment with a fast‑growing UK SaaS company.
• Hybrid working in our Cosham office (ideally in office 3 days per week).
• Competitive salary and benefits.
• Be part of a fantastic company culture; we all display our Company DNAs and foster a “One Team” and growth mentality.
• Give back to the wider community with volunteer days, fundraisers and charity events.